Course

Introduction to Data Science 16

• Lecture1.1
  Introduction to Data Science 02 hour 30 min
• Lecture1.2
  Introduction to Tableau Analytics 03 hour
• Lecture1.3
  Statistics for Data Science 03 hour
• Lecture1.4
  Advance Excel for Analytics 03 hour
• Lecture1.5
  Power Pivot and Power Maps in Excel Pro Plus 03 hour
• Lecture1.6
  Dashboards and Story-points in Tableau 03 hour
• Lecture1.7
  Advance Tableau Analytics 03 hour
• Lecture1.8
  Introduction to R 02 hour
• Lecture1.9
  Forecasting using Linear Regression in R 03 hour
• Lecture1.10
  E-commerce Analytics – RFM and Cohort Analytics 03 hour
• Lecture1.11
  Decision Making with Logistic Regression in R 03 hour
• Lecture1.12
  Decision Trees and Capstone Project 03 hour
• Lecture1.13
  Customer Segmentation and Clustering 02 hour
• Lecture1.14
  Text Mining and Sentiment Analytics 03 hour
• Lecture1.15
  Data Query using SQL 30 min
• Lecture1.16
  Resume Writing 30 min